Instructions to use HamdanXI/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HamdanXI/results with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="HamdanXI/results")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("HamdanXI/results") model = AutoModelForAudioClassification.from_pretrained("HamdanXI/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c3327db12d2dfaf27d25da0eeaf8a33afc38bc2c316c5ec65421aa27d19ff3af
- Size of remote file:
- 4.98 kB
- SHA256:
- 4040a63e96aa775e39a9be00e3638449b75ba13b4591b9397ffbbc6ec482a8bc
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